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Quality Evaluation of an Anonymized Dataset., and . ICPR, page 3594-3599. IEEE Computer Society, (2014)Removing Bias from Diverse Data Clusters for Ensemble Classification., and . ICONIP (4), volume 10637 of Lecture Notes in Computer Science, page 140-149. Springer, (2017)Comparing sets of patterns with the Jaccard index., and . Australas. J. Inf. Syst., (2018)The Optimized Selection of Base-Classifiers for Ensemble Classification using a Multi-Objective Genetic Algorithm., , , and . IJCNN, page 1-8. IEEE, (2018)Optimizing clustering to promote data diversity when generating an ensemble classifier., , and . GECCO (Companion), page 1402-1409. ACM, (2018)Differentially private random decision forests using smooth sensitivity., and . Expert Syst. Appl., (2017)A non-specialized ensemble classifier using multi-objective optimization., , and . Neurocomputing, (2020)A Differentially Private Random Decision Forest Using Reliable Signal-to-Noise Ratios., and . Australasian Conference on Artificial Intelligence, volume 9457 of Lecture Notes in Computer Science, page 192-203. Springer, (2015)Measuring Rule Retention in Anonymized Data - When One Measure Is Not Enough., and . Trans. Data Priv., 10 (3): 175-201 (2017)Towards Protecting Sensitive Text with Differential Privacy., , and . TrustCom, page 468-475. IEEE, (2021)